Disturbance events between wild animals and visitors of a recreational area are an excellent example to study interaction movement patterns. This paper presents computational movement analysis methods for studying disturbance dynamics, especially when both animals and visitors are tracked. The first method combines trajectory segmentation with animal homeranges aiming at detecting flight events. The second method formalizes the sequence pattern “disturbance-flight-seek cover”. The pattern is then applied searching for differences between different disturbance categories